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New Brochure: Facetten der Genomforschung
Wissenschaftler entschlüsseln die Baupläne des Lebens (german; pdf; 12,3 Mb)
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Research project: TPMG Gö/Gr
Technology Platform Goettingen/Greifswald
Project time: 01.02.10-30.09.13
Cluster coordinator: Prof. Dr. Rolf Daniel, Georg-August-Universität Göttingen, Göttingen
Project partners: (alphabetical order)
   Prof. Dr. Rolf Daniel, Georg-August-Universität Göttingen
   Prof. Dr. Michael Hecker, Ernst-Moritz-Arndt-Universität Greifswald

      Overview subprojects

The methods of functional genomics are developing rapidly. The new high throughput systems are very expensive and require the highest level of expert knowledge in operation. It is impossible to establish this wide method spectrum in a single laboratory, hence a new international trend has developed, the creation of centres, which is reflected by the foundation of the technology platform for microbial genome research (TPMG). This technology platform was already founded within the GenoMik (2001-2006) as well as the GenoMik-Plus (2006-2010) initiative, and will be further supported in the new initiative GenoMik-Transfer. With its state-of-the-art technical equipment and a well-practised team of experts, the technology centres at the universities of Goettingen and Greifswald form an important backbone of this research initiative since they are available for cooperations to every partner within the initiative.
The technology centre at the Goettingen University (G2L) is equipped with modern, automatised high-throughput robots for sequencing DNA and cDNA and offers competent bioinformatic data analyses. Moreover, special experience in comparative genomics and metagenomics, and subsequent transcriptomics and meta-transcriptomics is on hand.
Contact person: PD Dr. Rolf Daniel, eMail: rdaniel(at)

The proteomics centre at the Greifswald University is specialized in high-throughput proteome analysis, mass spectrometry and gel-free proteome analysis. Studies include comparative proteome analyses, the application of gel evaluation procedures and bioinformatic analysis (interpretation) of proteome data.
Contact person: Prof. Dr. Michael Hecker, eMail: Hecker(at)